Senior Simulation Engineer - Machine Learning

Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society. Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all. TEAM The Automated Driving & ADAS organization focuses on developing a scalable, data-driven approach to autonomous and assisted driving software. We collaborate with partners across Toyota, offering numerous opportunities to integrate cutting-edge technology into consumer vehicles globally. To continuously improve and thoroughly test our driving systems, we build powerful developer workflows that leverage real-world data and state of the art in-house and third party simulation technologies. The simulation technologies we develop and integrate form the foundation of our virtual verification and validation effo [... source excerpt omitted ...] e large scale training and testing of machine learning-based autonomy stacks. By steering technical direction, collaborating with cross-functional teams, and mentoring developers, you will play a key role in evolving our critical AD/ADAS simulator tools. RESPONSIBILITIES Lead adoption and integration of machine learning techniques in simulation subsystems and workflows (e.g. scenario creation, reactive agents and sensor/vehicle/intersection/world modeling). Architect and extend our next generation core simulation technologies (e.g. agent frameworks, scenario engine, sensor simulation). Partner with ADAS teams to improve the development and evaluation of ADAS software. Help s [... source excerpt omitted ...] growing landscape of ADAS customers and use cases. Demonstrate good design practices; alignment with stakeholders before, during, and after implementation is essential. MINIMUM QUALIFICATIONS Bachelor's or Master's degree in Computer Science, Engineering, or a related field highly preferred. 5+ years of relevant work experience. Experience with machine learning frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred). Experience in machine learning workflows, such as data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization Strong programming skills in Python, Rust or C++. Proven track record crafting